A central problem in information retrieval is the automated classification of text documents. While many existing methods achieve good levels of performance, they generally require...
—In recent times, improvements in imaging technology have made available an incredible array of information in image format. While powerful and sophisticated image processing sof...
Forest Fisher, Steve A. Chien, Edisanter Lo, Ronal...
This paper studies compressed sensing for the recovery of non-negative sparse vectors from a smaller number of measurements than the ambient dimension of the unknown vector. We fo...
This paper presents a semantic confidence measure that aims to predict the relevance of automatic transcripts for a task of Spoken Document Retrieval (SDR). The proposed predicti...
In this paper, we propose a new technique for multidimensional query processing which can be widely applied in database systems. Our new technique, called tree striping, generalize...